Senior Software Engineer

About the Job:

The Red Hat Ecosystems Engineering group is seeking a Senior Software Engineer to join our growing team in Pune, India. In this role, you will work with a diverse team of highly motivated engineers on certification tooling integration and development supporting Red Hat Enterprise Linux and Red Hats AI platforms. As a Senior Software Engineer, you will work closely with the Product Engineering and Product Management teams to ensure integration and feature development of high-quality, technically polished tools for partners and developers.

What you will do?

• Research and collaborate on the integration and development of certification policies with subject matter experts and product managers for advanced hardware systems and components supporting Red Hat AI platforms
• Assist with integration and development of certification tests to verify enablement of Red Hat partners hardware systems and components with RHEL and Red Hats AI platforms
• Test advancing Red Hat AI platforms utilizing pytorch, vLLM and performance monitoring tools
• Work with Red Hats partners to certify hardware compatibility in RHEL for key features such as networking, storage, and GPU acceleration of AI applications
• Deliver continuous integration and feature enhancements in an agile framework producing automated test software packaged as RPMs and container images

What you will bring?

• 5+ years of relevant technical experience
• Strong experience with RHEL or other Linux distributions
• Experience with hardware integration and support in Linux
• Experience with building and running containers
• Some experience in Python software development and best practices
• Experience with Kubernetes
• Technical leadership acumen in a global team environment
• Excellent written and verbal communication skills; fluent English language skills

The following is considered a plus:

• Recent hands on experience with distributed computation, either at the end-user or infrastructure provider level
• Background in DevOps or site reliability engineering (SRE)
• Experience with performance analysis tools
• Experience with Linux kernel development
• Experience with hardware accelerators (e.g., GPUs, FPGAs) for AI workloads is a plus
• Experience with AI/ML technologies and frameworks (classifiers, pytorch, tensorflow etc) is a plus.